{"id":46643,"topic":"ai","source":"Yahoo Finance Singapore","title":"Microsoft just took sides in AI policy fight - Yahoo Finance Singapore","url":"https://sg.finance.yahoo.com/news/microsoft-just-took-sides-ai-213600979.html","url_hash":"fabae9886fb842b21a966d2923c00cc572f7dde3","author":"","summary":"Microsoft just took sides in AI policy fight Yahoo Finance Singapore","content":"Every powerful technology eventually reaches the same argument. Somebody has to decide whether the thing gets handed out or locked up.\nEncryption had that fight in the 1990s, when the federal government classified strong cryptography as a munition and tried to keep it away from ordinary people. Software had it a decade earlier, when a small group of programmers insisted that code should be readable by anyone willing to read it.\nThat second fight is the one worth remembering, because the side that looked reckless at the time ended up running the century. Open source software now underpins most of the internet, along with the systems that federal agencies and the U.S. military rely on every day. Nobody calls that reckless anymore.\nArtificial intelligence has arrived at the same intersection, and the stakes are bigger this time, because AI is not merely software. It is the thing that writes the software.\nFor three years, America's largest AI labs have argued that their most capable models are too dangerous to hand out. Washington has been broadly sympathetic. Chinese labs have not been listening.\nOn July 24, Microsoft (MSFT) stopped hedging and put its name at the top of a document that says the opposite.\nWhy open weight AI models became a Washington problem\nAn open weight model is one anyone can download, inspect, modify and run on their own hardware. The company that trained it gives up control the moment the file goes public. A closed model stays behind an application programming interface, or API, where the developer decides who gets access and at what price.\nMore Artificial Intelligence:\nFor most of the modern AI boom, the best models were closed and American. That arrangement quietly held U.S. policy together.\nIt stopped holding on July 16, when Beijing-based Moonshot AI unveiled Kimi K3, a 2.8-trillion-parameter model it planned to release freely. One widely read estimate now puts the lag between open models and the closed frontier at roughly \"3-5 months,\" according to Interconnects, down from the six to nine months the field had been assuming.\nWashington noticed. The Commerce Department had already spent June testing how far its authority reaches, imposing a license requirement on the distribution of two Anthropic frontier models before largely withdrawing it two weeks later, according to Export Compliance Daily.\nThat episode showed the industry something uncomfortable. The government is willing to treat a model file the way it treats a weapons component.","image_url":"https://s.yimg.com/lo/mysterio/api/C5352C31F7BDEC5C87696A4D676DAA56FBB7CAC263403DAD065739849C30BF31/subgraphmysterio/resizefill_w1200_h800;quality_80;format_webp/https:%2F%2Fmedia.zenfs.com%2Fen%2Fthestreet_881%2F8019b6f6ad739f15d458c687dc4c7397","lang":"en","published_at":"2026-07-26T21:36:00+00:00","fetched_at":"2026-07-26T22:15:05+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"Somebody has to decide whether the thing gets handed out or locked up. 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Somebody has to decide whether the thing gets handed out or locked up.\nEncryption had that fight in the 1990s, when the federal government classified strong cryptography as a munition and tried to keep it away from ordinary people. Software had it a decade earlier, when a small group of programmers insisted that code should be readable by anyone willing to read it.\nThat second fight is the one worth remembering, because the side that looked reckless at the time ended up running the century. Open source software now underpins most of the internet, along with the systems that federal agencies and the U.S. military rely on every day. Nobody calls that reckless anymore.\nArtificial intelligence has arrived at the same intersection, and the stakes are bigger this time, because AI is not merely software. It is the thing that writes the software.\nFor three years, America's largest AI labs have argued that their most capable models are too dangerous to hand out. Washington has been broadly sympathetic. Chinese labs have not been listening.\nOn July 24, Microsoft (MSFT) stopped hedging and put its name at the top of a document that says the opposite.\nWhy open weight AI models became a Washington problem\nAn open weight model is one anyone can download, inspect, modify and run on their own hardware. The company that trained it gives up control the moment the file goes public. A closed model stays behind an application programming interface, or API, where the developer decides who gets access and at what price.\nMore Artificial Intelligence:\nFor most of the modern AI boom, the best models were closed and American. That arrangement quietly held U.S. policy together.\nIt stopped holding on July 16, when Beijing-based Moonshot AI unveiled Kimi K3, a 2.8-trillion-parameter model it planned to release freely. One widely read estimate now puts the lag between open models and the closed frontier at roughly \"3-5 months,\" according to Interconnects, down from the six to nine months the field had been assuming.\nWashington noticed. The Commerce Department had already spent June testing how far its authority reaches, imposing a license requirement on the distribution of two Anthropic frontier models before largely withdrawing it two weeks later, according to Export Compliance Daily.\nThat episode showed the industry something uncomfortable. The government is willing to treat a model file the way it treats a weapons component.","excerpt":"Somebody has to decide whether the thing gets handed out or locked up. 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Encryption had that fight in the 1990s, when the federal government classified strong cryptography as a munition and tried to keep it away from ordinary people.","source":"Yahoo Finance Singapore","date":"2026-07-26T21:36:00+00:00","content":"Every powerful technology eventually reaches the same argument. Somebody has to decide whether the thing gets handed out or locked up.\nEncryption had that fight in the 1990s, when the federal government classified strong cryptography as a munition and tried to keep it away from ordinary people. Software had it a decade earlier, when a small group of programmers insisted that code should be readable by anyone willing to read it.\nThat second fight is the one worth remembering, because the side that looked reckless at the time ended up running the century. Open source software now underpins most of the internet, along with the systems that federal agencies and the U.S. military rely on every day. Nobody calls that reckless anymore.\nArtificial intelligence has arrived at the same intersection, and the stakes are bigger this time, because AI is not merely software. It is the thing that writes the software.\nFor three years, America's largest AI labs have argued that their most capable models are too dangerous to hand out. Washington has been broadly sympathetic. Chinese labs have not been listening.\nOn July 24, Microsoft (MSFT) stopped hedging and put its name at the top of a document that says the opposite.\nWhy open weight AI models became a Washington problem\nAn open weight model is one anyone can download, inspect, modify and run on their own hardware. The company that trained it gives up control the moment the file goes public. A closed model stays behind an application programming interface, or API, where the developer decides who gets access and at what price.\nMore Artificial Intelligence:\nFor most of the modern AI boom, the best models were closed and American. That arrangement quietly held U.S. policy together.\nIt stopped holding on July 16, when Beijing-based Moonshot AI unveiled Kimi K3, a 2.8-trillion-parameter model it planned to release freely. One widely read estimate now puts the lag between open models and the closed frontier at roughly \"3-5 months,\" according to Interconnects, down from the six to nine months the field had been assuming.\nWashington noticed. The Commerce Department had already spent June testing how far its authority reaches, imposing a license requirement on the distribution of two Anthropic frontier models before largely withdrawing it two weeks later, according to Export Compliance Daily.\nThat episode showed the industry something uncomfortable. 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Encryption had that fight in the 1990s, when the federal government classified strong cryptography as a munition and tried to keep it away from ordinary people.","full_text":"Every powerful technology eventually reaches the same argument. Somebody has to decide whether the thing gets handed out or locked up.\nEncryption had that fight in the 1990s, when the federal government classified strong cryptography as a munition and tried to keep it away from ordinary people. Software had it a decade earlier, when a small group of programmers insisted that code should be readable by anyone willing to read it.\nThat second fight is the one worth remembering, because the side that looked reckless at the time ended up running the century. Open source software now underpins most of the internet, along with the systems that federal agencies and the U.S. military rely on every day. Nobody calls that reckless anymore.\nArtificial intelligence has arrived at the same intersection, and the stakes are bigger this time, because AI is not merely software. It is the thing that writes the software.\nFor three years, America's largest AI labs have argued that their most capable models are too dangerous to hand out. Washington has been broadly sympathetic. Chinese labs have not been listening.\nOn July 24, Microsoft (MSFT) stopped hedging and put its name at the top of a document that says the opposite.\nWhy open weight AI models became a Washington problem\nAn open weight model is one anyone can download, inspect, modify and run on their own hardware. The company that trained it gives up control the moment the file goes public. A closed model stays behind an application programming interface, or API, where the developer decides who gets access and at what price.\nMore Artificial Intelligence:\nFor most of the modern AI boom, the best models were closed and American. That arrangement quietly held U.S. policy together.\nIt stopped holding on July 16, when Beijing-based Moonshot AI unveiled Kimi K3, a 2.8-trillion-parameter model it planned to release freely. One widely read estimate now puts the lag between open models and the closed frontier at roughly \"3-5 months,\" according to Interconnects, down from the six to nine months the field had been assuming.\nWashington noticed. The Commerce Department had already spent June testing how far its authority reaches, imposing a license requirement on the distribution of two Anthropic frontier models before largely withdrawing it two weeks later, according to Export Compliance Daily.\nThat episode showed the industry something uncomfortable. 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Somebody has to decide whether the thing gets handed out or locked up.\nEncryption had that fight in the 1990s, when the federal government classified strong cryptography as a munition and tried to keep it away from ordinary people. Software had it a decade earlier, when a small group of programmers insisted that code should be readable by anyone willing to read it.\nThat second fight is the one worth remembering, because the side that looked reckless at the time ended up running the century. Open source software now underpins most of the internet, along with the systems that federal agencies and the U.S. military rely on every day. Nobody calls that reckless anymore.\nArtificial intelligence has arrived at the same intersection, and the stakes are bigger this time, because AI is not merely software. It is the thing that writes the software.\nFor three years, America's largest AI labs have argued that their most capable models are too dangerous to hand out. Washington has been broadly sympathetic. Chinese labs have not been listening.\nOn July 24, Microsoft (MSFT) stopped hedging and put its name at the top of a document that says the opposite.\nWhy open weight AI models became a Washington problem\nAn open weight model is one anyone can download, inspect, modify and run on their own hardware. The company that trained it gives up control the moment the file goes public. A closed model stays behind an application programming interface, or API, where the developer decides who gets access and at what price.\nMore Artificial Intelligence:\nFor most of the modern AI boom, the best models were closed and American. That arrangement quietly held U.S. policy together.\nIt stopped holding on July 16, when Beijing-based Moonshot AI unveiled Kimi K3, a 2.8-trillion-parameter model it planned to release freely. One widely read estimate now puts the lag between open models and the closed frontier at roughly \"3-5 months,\" according to Interconnects, down from the six to nine months the field had been assuming.\nWashington noticed. The Commerce Department had already spent June testing how far its authority reaches, imposing a license requirement on the distribution of two Anthropic frontier models before largely withdrawing it two weeks later, according to Export Compliance Daily.\nThat episode showed the industry something uncomfortable. 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